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people_may_ask_for_modified.py
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people_may_ask_for_modified.py
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import os
import re
import sys
import json
import time
import datetime
import platform
from docopt import docopt
from tqdm import tqdm
from time import sleep
import pandas as pd
from pandas.io.json import json_normalize
import logging
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
from selenium.common.exceptions import NoSuchElementException#, ElementClickInterceptedException
import lxml
from lxml.html.clean import Cleaner
import difflib
import time
def get_web_link(answer):
start = 'https'
end = 'Search'
web_link = 'https'+answer[answer.find(start)+len(start):answer.rfind(end)]
web_link = web_link.replace(' › ','/')
if len(web_link)<1:
return "No link"
return web_link
def get_context(web_link,answer):
browser = webdriver.Firefox(executable_path='geckodriver-v0.26.0-win64/geckodriver')
browser.get(web_link)
html_source = browser.page_source
get_context= BeautifulSoup(html_source, "lxml")
cleaner = Cleaner()
cleaner.javascript = True
cleaner.style = True
web_page_text = ''
for element in get_context:
element_string= lxml.html.document_fromstring(str(element))
page_text = lxml.html.tostring(cleaner.clean_html(element_string))
page_text = re.sub("<.*?>"," ", str(page_text))
web_page_text = web_page_text + " " + page_text
browser.close()
matcher = difflib.SequenceMatcher(None,web_page_text,answer)
match = matcher.find_longest_match(0,len(web_page_text),0,len(answer))
if match.a>1000:
start_context = match.a -999
else:
start_context = 0
if len(web_page_text)>start_context + 2000:
end_context = start_context + 2000
else:
end_context = len(web_page_text)-1
context = web_page_text[start_context:end_context]
return context
def initBrowser(headless=False):
if "Windows" in platform.system():
chrome_path = "driver/chromedriver.exe"
else:
chrome_path = "driver/chromedriver"
chrome_options = Options()
chrome_options.add_argument("--disable-features=NetworkService")
if headless:
chrome_options.add_argument('headless')
return webdriver.Chrome(executable_path=chrome_path)
def tabNTimes(N=2):
actions = ActionChains(browser)
for _ in range(N):
actions = actions.send_keys(Keys.TAB)
actions.perform()
def sleepBar(seconds):
for i in tqdm(range(seconds)):
sleep(1)
def clickNTimes(el, n=1):
for i in range(n):
el.click()
logging.info("clicking on ... {el.text}")
sleepBar(1)
scrollToFeedback()
try:
el.find_element_by_xpath("//*[@aria-expanded='true']").click()
except:
pass
sleepBar(1)
def scroll_shim(passed_in_driver, object):
x = object.location['x']
y = object.location['y']
scroll_by_coord = 'window.scrollTo(%s,%s);' % (
x,
y
)
scroll_nav_out_of_way = 'window.scrollBy(0, -120);'
passed_in_driver.execute_script(scroll_by_coord)
passed_in_driver.execute_script(scroll_nav_out_of_way)
def scrollToFeedback():
el = browser.find_element_by_xpath("//div[@class='kno-ftr']//div/following-sibling::a[text()='Feedback']")
scroll_shim(browser,el)
actions = ActionChains(browser)
#browser.execute_script("window.scrollTo(0, document.body.scrollHeight);")
browser.set_window_size(3000,900)
actions.move_to_element(el).perform()
browser.execute_script("arguments[0].scrollIntoView();", el)
actions.send_keys(Keys.PAGE_UP).perform()
sleepBar(1)
if __name__=="__main__":
#for i in range(len(query_list)):
i =100
query = 'who sings the song in fifty shades of grey'
print(query)
print(i)
file_name = "file_"+ str(i) + '.csv'
browser = webdriver.Firefox(executable_path='geckodriver-v0.26.0-win64/geckodriver')
browser.get("https://www.google.com?hl=en")
browser.execute_script("window.scrollTo(0, document.body.scrollHeight);")
browser.set_window_size(3000,900)
searchbox = browser.find_element_by_xpath("//input[@aria-label='Search']")
searchbox.send_keys(query)
sleepBar(2)
tabNTimes()
searchbtn = browser.find_elements_by_xpath("//input[@aria-label='Google Search']")
searchbtn[-1].click()
inital_results = browser.find_elements_by_xpath("//span/following-sibling::div[contains(@class,'match-mod-horizontal-padding')]")
browser.execute_script('document.getElementById("searchform").style.display = "none";')
scrollToFeedback()
#generate more questions
for qa in inital_results:
scrollToFeedback()
sleepBar(1)
clickNTimes(qa)
final_ques = browser.find_elements_by_xpath("//span/following-sibling::div[contains(@class,'match-mod-horizontal-padding')]")
for qa in final_ques:
scrollToFeedback()
qa.click()
final_para = browser.find_elements_by_xpath("//div[contains(@class,'kno-aoc')]")
results = []
for q,a in zip(final_ques,final_para):
answer = a.text
question = q.text
results.append({
"answer":answer,
"question":question
})
browser.close()
results_df = pd.DataFrame(results)
results_df.to_csv(file_name)
final_results = []
for k in range(len(results)):
sleepBar(2)
answer = results[k]['answer']
question = results[k]['question']
try:
web_link = get_web_link(answer).replace('\n','')
context = get_context(web_link,answer)
print(context[0:100])
except:
web_link = ""
context = ""
final_results.append({
"context":context,
"question":question,
"answer":answer,
"web_link":web_link
})
final_file_name ="final_" + file_name
final_df = pd.DataFrame(final_results)
final_df.to_csv(file_name)